This class describes a Double Chain Markov Model (DCMM) represented by Pi, the probability distributions of the first
hidden states; by A, the transition matrix between hidden states; by RB, the transition matrix between sucessive output.
march. Dcmm extends `march.Model-class`

class and therefore inherits its slots.

The model used here is described in :

Berchtold, A.: The Double Chain Markov Model. Commun. Stat., Theory Methods 28 (1999), pp. 2569-2589

Berchtold, A.: High-order extensions of the Double Chain Markov Model. Stochastic Models 18 (2002), pp. 193-227.

`Pi`

:A 3D matrix of

`numeric`

representing the probability distribution of the first hidden state.`A`

:A matrix of

`numeric`

representing the transition matrix between hidden states.`RB`

:A 3D matrix of

`numeric`

representing the transition matrix between successive output, in a reduced form.`M`

:An

`integer`

value representing the number of hidden state.`orderVC`

:An

`integer`

value representing the order of the visible Markov chain.`orderHC`

:An

`integer`

value representing the order of the hidden Markov chain.

`march.dcmm.construct`

, `march.Model-class`

.

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